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math/ufl-1.20 (Score: 0.01987111)
Unified Form Language for finite element discretizations
The Unified Form Language (UFL) is a domain specific language for declaration of finite element discretizations of variational forms.
math/qalculate-0.9.7 (Score: 0.01987111)
Multi-purpose desktop calculator (Gnome frontend)
Qalculate! is a multi-purpose desktop calculator. It is small and simple to use but with much power and versatility underneath. Features include customizable functions, units, arbitrary precision, plotting, and a user-friendly interface.
math/qrupdate-1.1.2 (Score: 0.01987111)
Fortran library for fast updates of QR and Cholesky decomposition
qrupdate is a Fortran library for fast updates of QR and Cholesky decomposition. It was originally part of GNU-Octave.
math/clasp-3.1.3 (Score: 0.01987111)
Answer set solver for (extended) normal logic programs
Clasp is an answer set solver for (extended) normal logic programs. It combines the high-level modeling capacities of answer set programming (ASP) with state-of-the-art techniques from the area of Boolean constraint solving. The primary clasp algorithm relies on conflict-driven nogood learning, a technique that proved very successful for satisfiability checking (SAT). Unlike other learning ASP solvers, clasp does not rely on legacy software, such as a SAT solver or any other existing ASP solver. Rather, clasp has been genuinely developed for answer set solving based on conflict-driven nogood learning. clasp can be applied as an ASP solver (on SMODELS format, as output by Gringo), as a SAT solver (on a simplified version of DIMACS/CNF format), or as a PB solver (on OPB format).
math/sdpa-7.3.8 (Score: 0.01987111)
Very efficient SDP (semidefinite programming) solver
The SDPA (SemiDefinite Programming Algorithm) is a software package for solving semidefinite program (SDP). It is based on a Mehrotra-type predictor-corrector infeasible primal-dual interior-point method. The SDPA handles the standard form SDP and its dual. It is implemented in C++ language utilizing the LAPACK for matrix computation. The SDPA incorporates dynamic memory allocation and deallocation. So, the maximum size of an SDP to be solved depends on the size of memory which users' computers install. The SDPA enjoys the following features: 1. Callable library of the SDPA is available. 2. Efficient method for computing the search directions when an SDP to be solved is large scale and sparse. 3. Block diagonal matrix structure and sparse matrix structure in data matrices are available. 4. Some information on infeasibility of a semidefinite program to be solved is provided.
math/sdpara-7.3.1 (Score: 0.01987111)
SDPARA parallel version of SDPA (math/sdpa)
The SDPARA (SemiDefinite Programming Algorithm PARAllel version) is a parallel version of the SDPA. C++ source codes of the SDPARA are available in this homepage. They form a stand-alone software package for solving SDPs in parallel with the help of MPI (Message Passing Interface) and ScaLAPACK (Scalable LAPACK). However callable libraries of the SDPARA, which could be used combinedly with other C++ programs, are not available. We assume that you know how to use the latest version of the SDPA and MPICH.
math/spar-0.5.10 (Score: 0.01987111)
Modular math parser
Spar is a modular math parser that comes with a fully featured text frontend, something like an interactive calculator. It also provides a simple but complete API for C/C++ programmers. This API provide a complete interface to a top down parser that supports: variables, constants, functions, modules and a libc based math library. This math library overrides standard functions with a "custom" version (such as. deg, rad auto conversion, infinite symbol, function domain...). Spar, can be easily extended with modules. A module is a "user" extensions, written in C/C++, to the basic features of the Simple Parser. Here you can find the module definition: is a C structure that contains only few data member: - module name - module version - module description - a pointer to the module main function The modules are loaded at run-time by the module loader (that is a high level layer of the module manager): you can load your modules, simply, coping theirs paths into the .spar_modules (or any other file, with the -c option).
math/surf-1.0.6 (Score: 0.01987111)
Visualize some real algebraic geometry
surf is a tool to visualize some real algebraic geometry: plane algebraic curves, algebraic surfaces and hyperplane sections of surfaces. surf is script driven and has (optionally) a nifty GUI using the Gtk widget set. The algorithms should be stable enough not to be confused by curve/surface singularities in codimension greater than one and the degree of the surface or curve. This has been achieved quite a bit. We have drawn curves of degree up to 30 and surfaces of degree up to 20 successfully. However, there are examples of curves/surfaces of lower degree where surf fails to produce perfect images. This happens especially if the equation of the curve/surface is not reduced. Best results are achieved using reduced equations. On the other hand, surf displays the Fermat-curves accurately for degree up to 98.
math/tomsfastmath-0.12 (Score: 0.01987111)
Portable fixed precision math library for fast exponentiations
TomsFastMath is a portable fixed precision math library designed for very fast exponentiations.
math/tvmet-1.7.2 (Score: 0.01987111)
Tiny Vector and Matrix template library
This Tiny Vector and Matrix template library uses Meta and Expression Templates to evaluate results at compile time, thus making it fast for low-end systems. Temporaries are avoided because of this. The dimensions are static and bounded at compile time.